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Multiobjective Two-Phase Fuzzy Optimization Approaches in Management of Water Resources

机译:水资源管理中的多目标两阶段模糊优化方法

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This study determines the optimal operational strategies for a complex water resource system. These strategies are derived from four conflicting objective functions: maximization of net irrigation benefits, maximization of employment generation, minimization of cultivation cost, and maximization of revenue generation from industrial and municipal supplies. Multiobjective fuzzy linear programming (MOFLP) models, i.e.,the maximum-minimum (max-min) operator, two-phase MOFLP (TPMOFLP), and fuzzy compromise approach (average operator), are derived from the individual linear programming solutions of these objective functions. The performances of the derived MOFLP models are compared for inflows that have different probabilities of exceedance with reference to the overall degree of satisfaction, irrigation intensity, and optimized values of the relevant objective functions. The cropping pattern obtained from the recommended MOFLP model, i.e.,average operator Case-I (overall degree of satisfaction =0.75), is compared with the actual cropping pattern in the command area in recent years to highlight the need for the developed model. The irrigation intensity for the whole command area from the recommended MOFLP model (104.6%) has been found to be significantly higher than the actual cropping patterns adopted in recent years. The net irrigation benefits, employment generation, cost of cultivation, and municipal and industrial revenue obtained from the recommended MOFLP model are Rs 11,058.27million, 33,414.62 thousand work days, Rs 5,622.20 million, and Rs 2,686.25 million, respectively. Additionally, the performance of the water resource system using the recommended model is simulated based on 36years of historical data and 100 years of synthetically generated data and is measured in terms of the performance indices reported by previous studies. The analyses show that the irrigation deficit will increase from 11.22x106m3 for the past 36years to 26.67x106m3 over the next 100 years. The monthly (MFID) and annual frequency irrigation deficits (AFID) will rise from 7.17% (past) to 13.92% (in next 100years) and from 52.77% (past) to 82% (in next 100years), respectively. (C) 2016 American Society of Civil Engineers.
机译:这项研究确定了复杂的水资源系统的最佳运行策略。这些策略源自四个相互矛盾的目标功能:净灌溉收益的最大化,就业创造的最大化,耕种成本的最小化以及工业和市政供应的收益最大化。从多目标模糊线性规划(MOFLP)模型,即最大-最小(max-min)算子,两相MOFLP(TPMOFLP)和模糊折衷方法(平均算子),从这些目标的单个线性规划解决方案中得出功能。参照总体满意度,灌溉强度和相关目标函数的优化值,比较得出的MOFLP模型的性能,以分析具有不同超出概率的入流。从推荐的MOFLP模型(即平均算子Case-I(总体满意度= 0.75))获得的裁剪模式与最近几年在命令区域中的实际裁剪模式进行了比较,以强调对已开发模型的需求。推荐的MOFLP模型(104.6%)对整个命令区域的灌溉强度被发现明显高于近年来采用的实际耕作模式。从推荐的MOFLP模型中获得的净灌溉收益,创造就业机会,耕作成本以及市政和工业收入分别为11,058.27百万卢比,33,414.62千工作日,5,622.20百万卢比和2686.25百万卢比。此外,基于36年的历史数据和100年的综合生成数据,对使用推荐模型的水资源系统的性能进行了模拟,并根据先前研究报告的性能指标进行了测量。分析表明,在接下来的100年中,灌溉赤字将从过去36年的11.22x106m3增加到26.67x106m3。未来100年的月度(MFID)和年度频率灌溉赤字(AFID)将分别从7.17%(过去)增至13.92%和从下一个100年从52.77%(过去)增至82%。 (C)2016年美国土木工程师学会。

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